Multi-objective evolutionary approach to select security solutions

CAAI Transactions on Intelligence Technology

article

Yunghee Lee¹  Tae Jong Choi²  Chang Wook Ahn¹ 

[1] School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology (GIST);Department of Computer Engineering, Sungkyunkwan University

关键词: genetic algorithms;    Pareto optimisation;    evolutionary computation;    multiobjective evolutionary approach;    efficient security solutions;    optimised security method;    security methods;    weakness decrease;    security issues;    NSGA-II algorithm;    diverse solution;   

DOI  :  10.1049/trit.2017.0002

学科分类：数学（综合）

来源: Wiley

【 摘 要 】

In many companies or organisations, owners want to deploy the most efficient security solutions at a low cost. The authors propose a way of choosing the optimised security method from many security methods by multi-objective genetic algorithm (GA) considering cost and weakness decrease in this study. The proposed system can find the best security methods in various aspects of security issues. This study uses the NSGA-II algorithm, which has been authorised in a variety of fields, to provide a comparison with old GAs. Their scheme has increased the dominant area by more than 30% compared with the previous scheme and can provide a more diverse solution set.

【 授权许可】

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